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Save my name, email, and website in this browser for the next time I comment. Skip to content. Table of Contents What is a Data Warehouse?
Measure Performance — To evaluate how various activities are performing within the company. Measuring the Sales Performance across different geographies. Validate Certain Hypothesis — This is to discover certain insights which were not previously known or to validate certain possibilities. Data Warehouse Basics Data Warehouse is a similar or better alternative for Databases that is a permanent storage space with higher computational power to process and run analysis on data stored.
A few of the reasons are listed below: Multiple data sources store data in different formats, and a company needs to club data from many sources to generate valuable insights from data. Data Warehouse stores data in a common schema that allows companies, Data Scientists, Data Analysts, and BI tools to get all the data in one place. It saves lots of time because it eliminates the need for retrieving data from multiple data sources and transform it according to the requirement.
If data is direct access by BI tools then there is a risk that BI tools can misuse data. Data Warehouse is also used as a common place to create metadata that helps Data Warehouse users understand data. The need for Data Warehouse is to store clean data that can be directly used by Data Analysts, companies, Data Scientists, and other team members.
One can restructure and rename table names in the Data Warehouse that makes more sense to the users. The need for Data Warehouse is to deliver faster query processing, and an architecture can be created for Data Warehouse for best performance instead of using structure used for transactional Databases.
Why You Need a Data Warehouse? It serves as a Single Source of Truth for all the data within the company. Using a Data Warehouse eliminates the following issues: Data quality issues Unstable data in reports Data Inconsistency Low query performance Data Warehouse gives the ability to quickly run analysis on huge volumes of datasets. If there is any change in the structure of the data available in the operational or transactional Databases. It will not break the business reports running on top of it because they are not directly connected to BI tools or Reporting tools.
Instead, you pay as you go as the size of your data increases. Pingback: Best Applications Bemused. James Serra's Blog. Pingback: Why use a data lake? Pingback: Understanding data warehousing and its importance Aviana Global.
Your email address will not be published. Save my name, email, and website in this browser for the next time I comment. Notify me of follow-up comments by email. Notify me of new posts by email. Introduction You likely have heard about data warehousing, but are unsure exactly what it is and if your company needs one. Why you need Business Intelligence A goal of every business is to make better business decisions than their competitors.
The most important ingredient to a BI solution is that it must include a data warehouse. Data Warehouse Basics The concept of a data warehouse is not difficult to understand. This will allow for better business decisions because users will have access to more data. You need to keep historical records, even if the source transaction systems does not You can restructure the data and rename tables and fields i.
You need to use master data management to consolidate many tables, such as customers, into one table Users are running reports directly against operational systems, causing performance problems. Instead, create a data warehouse so users can run reports off of that. Plus, the data warehouse is optimized for read access, resulting in faster report generation The data warehouse can be housed on a server built specifically for a data warehouse, resulting is much quicker access than hardware designed for handling transactions There is a risk that BI users might misuse or corrupt the transaction data Having an easy to use data warehouse allows users to create their own reports without having to get IT involved.
Benefits of a Data Warehouse and BI solution Once a data warehouse is in place and populated with data, it will become a part of a BI solution that will deliver benefits to business users in many ways: End user creation of reports : The creation of reports directly by end users is much easier to accomplish in a BI environment.
They can also create much more useful reports because of the power and capability of BI tools compared to a source application. And moving the creation of reports to a BI system increases consistency and accuracy and usually reduces cost Ad-hoc reporting and analysis : Since the data warehouse eliminates the need for BI tools to compete with the transactional source systems, users can analyze data faster and generate reports more easily, and slice-and-dice in ways they could never do before.
The Microsoft BI toolset vastly improves the ability to analyze data Dynamic presentation through dashboards : Managers want access to an interactive display of up-to-date critical management data. That is accomplished via dashboards, which are sophisticated displays that show information in creative and highly graphical forms, much like the instrument panel on an automobile Drill-down capability : Users can drill down into the details underlying the summaries on dashboards and reports.
The allows users to slice and dice to find underlying problems Support for regulations : Sarbanes-Oxley and other related regulations have requirements that transactional systems are sometimes not able to support.
With a data warehouse, the necessary data can be retained as long as the law requires Metadata creation : Descriptions of the data can be stored with the data warehouse to make it a lot easier for users to understand the data in the warehouse. This will make report creation much simpler for the end-user Support for operational processes : A data warehouse can help support business needs, such as the ability to consolidate financial results within a complex company that uses different software for different divisions Data mining : Once you have built out a data warehouse, there are data mining tools that you can use to help find hidden patterns using automatic methodologies.
While reporting tools can tell you where you have been, data mining tools can tell you where you are going Security : A data warehouse makes it much easier to provide secure access to those that have a legitimate need to specific data and to exclude others Analytical tool support: There are many vendors who have analytical tools i.
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Data warehousing is an increasingly important business intelligence tool, allowing organizations to: Ensure consistency. Data warehouses are programmed to apply a uniform format to all collected data, which makes it easier for corporate decision-makers to analyze and share data insights with their colleagues around the globe.
Standardizing data from different sources also reduces the risk of error in interpretation and improves overall accuracy.
Make better business decisions.
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